App - China

  • China
  • The projected total revenue in the App market for the country in China is expected to reach €154.60bn in 2022.
  • This projected revenue is based on an annual growth rate (CAGR 2022-2027) of 8.20%, which is expected to result in a market volume of €239.40bn by 2027.
  • In terms of revenue breakdown, the in-app purchase (IAP) revenue in the App market for in China is projected to reach €54.64bn in 2022.
  • Additionally, the paid app revenue is expected to reach €2.52bn in the same year.
  • Furthermore, the advertising revenue in the App market is projected to reach €97.42bn in 2022.
  • In addition to revenue figures, the number of downloads in the App market for in China is projected to reach 110.30bn downloads in 2022.
  • Currently, the average revenue per download is expected to amount to €1.40.
  • When comparing the global market, it is noteworthy that in China generates the most revenue in the App market, with a projected revenue of €154.60bn in 2022.
  • This indicates the significant contribution of the Chinese market to the overall App market industry.

Key regions: China, United States, Europe, Germany, Asia

 
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Comparaison de régions
 
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Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on revenue from in-app purchases, revenue from the purchase of apps, and revenue from advertising, as well as the number of downloads for each app category.

Modeling approach:

Market sizes are determined through a bottom-up approach, building on a specific rationale for each market segment. As a basis for evaluating markets, we use market data from independent databases and third-party sources, current trends, and reported performance indicators of top market players. In addition, we use relevant key market indicators and data from country-specific associations, such as smartphone users and mobile broadband connections. This data helps us estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the S-curve function and exponential trend smoothing are well suited for forecasting digital products and services due to the non-linear growth of technology adoption. The main drivers are GDP/capita, level of digitization, and consumer attitudes toward apps.

Additional notes:

The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice a year in case market dynamics change.

Vue d’ensemble

  • Revenue
  • Downloads
  • Users
  • Key Players
  • Global Comparison
  • Methodology
  • Key Market Indicators
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